{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T02:59:33Z","timestamp":1790305173209,"version":"4.1.0"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032382351","type":"print"},{"value":"9783032382368","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T00:00:00Z","timestamp":1790380800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T00:00:00Z","timestamp":1790380800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-3-032-38236-8_60","type":"book-chapter","created":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T02:41:42Z","timestamp":1790304102000},"page":"626-636","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Wrist Camera Pose-Guided Multi-view Fusion for\u00a0Occlusion Reconstruction in\u00a0Robot-Assisted Microsurgical Anastomosis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-9131-7738","authenticated-orcid":false,"given":"Xinyao","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2431-2653","authenticated-orcid":false,"given":"Yuxuan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6050-4106","authenticated-orcid":false,"given":"Yating","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9810-6272","authenticated-orcid":false,"given":"Yunfei","family":"Luan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4060-4020","authenticated-orcid":false,"given":"Guang-Zhong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8041-1245","authenticated-orcid":false,"given":"Yao","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,26]]},"reference":[{"key":"60_CR1","doi-asserted-by":"publisher","unstructured":"Cao, S., et al.: Robot-assisted osteotomy and reconstruction with AR guidance in maxillofacial reconstructive surgery. Cyborg and Bionic Syst. 7 (2026). https:\/\/doi.org\/10.34133\/cbsystems.0590","DOI":"10.34133\/cbsystems.0590"},{"key":"60_CR2","doi-asserted-by":"crossref","unstructured":"Cuevas-Velasquez, H., Li, N., Tylecek, R., Saval-Calvo, M., Fisher, R.B.: Hybrid multi-camera visual servoing to moving target. In: IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1132\u20131137. IEEE (2018)","DOI":"10.1109\/IROS.2018.8593652"},{"key":"60_CR3","doi-asserted-by":"crossref","unstructured":"He, K., Chen, X., Xie, S., Li, Y., Doll\u00e1r, P., Girshick, R.: Masked autoencoders are scalable vision learners. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16000\u201316009 (2022)","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"60_CR4","doi-asserted-by":"crossref","unstructured":"Kim, J.W., et\u00a0al.: SRT-H: a hierarchical framework for autonomous surgery via language-conditioned imitation learning. Sci. robot. 10(104), eadt5254 (2025)","DOI":"10.1126\/scirobotics.adt5254"},{"key":"60_CR5","doi-asserted-by":"crossref","unstructured":"Li, R., Yi, B., Liu, J., Gao, H., Ma, Y., Kanazawa, A.: Cameras as relative positional encoding. arXiv preprint arXiv:2507.10496 (2025)","DOI":"10.52202\/085713-0540"},{"key":"60_CR6","doi-asserted-by":"publisher","unstructured":"Li, S., Zhou, J., Jia, Z., Yeung, D.Y., Mason, M.T.: Learning accurate objectness instance segmentation from photorealistic rendering for robotic manipulation. In: International Symposium on Experimental Robotics, pp. 245\u2013255. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-33950-0_22","DOI":"10.1007\/978-3-030-33950-0_22"},{"issue":"3","key":"60_CR7","doi-asserted-by":"publisher","first-page":"2020","DOI":"10.1109\/TPAMI.2024.3515454","volume":"47","author":"Z Li","year":"2024","unstructured":"Li, Z., et al.: Bevformer: learning bird\u2019s-eye-view representation from lidar-camera via spatiotemporal transformers. IEEE Trans. Pattern Anal. Mach. Intell. 47(3), 2020\u20132036 (2024)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"60_CR8","unstructured":"Liu, H., Zhang, E., Wu, J., Hong, M., Jin, Y.: Surgical SAM 2: real-time segment anything in surgical video by efficient frame pruning. arXiv preprint arXiv:2408.07931 (2024)"},{"key":"60_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2026.113510","volume":"179","author":"Y Liu","year":"2026","unstructured":"Liu, Y., et al.: Simultaneous surgical stereo depth and motion estimation via brightness-aware self-supervised learning. Pattern Recogn. 179, 113510 (2026). https:\/\/doi.org\/10.1016\/j.patcog.2026.113510","journal-title":"Pattern Recogn."},{"key":"60_CR10","doi-asserted-by":"crossref","unstructured":"Long, Y., et\u00a0al.: Surgical embodied intelligence for generalized task autonomy in laparoscopic robot-assisted surgery. Sci. Robot. 10(104), eadt3093 (2025)","DOI":"10.1126\/scirobotics.adt3093"},{"issue":"1","key":"60_CR11","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1109\/TMECH.2025.3585533","volume":"31","author":"Y Luan","year":"2026","unstructured":"Luan, Y., et al.: Autofocusing with 3-D tracking for robot-assisted microsurgery. IEEE\/ASME Trans. Mechatron. 31(1), 220\u2013231 (2026). https:\/\/doi.org\/10.1109\/TMECH.2025.3585533","journal-title":"IEEE\/ASME Trans. Mechatron."},{"key":"60_CR12","unstructured":"Oord, A.v.d., Li, Y., Vinyals, O.: Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 (2018)"},{"issue":"5","key":"60_CR13","doi-asserted-by":"publisher","first-page":"2383","DOI":"10.1007\/s00464-024-10788-w","volume":"38","author":"BT Ostrander","year":"2024","unstructured":"Ostrander, B.T., Massillon, D., Meller, L., Chiu, Z.Y., Yip, M., Orosco, R.K.: The current state of autonomous suturing: a systematic review. Surg. Endosc. 38(5), 2383\u20132397 (2024)","journal-title":"Surg. Endosc."},{"key":"60_CR14","doi-asserted-by":"crossref","unstructured":"Pan, W., et al.: Semi-supervised semantic segmentation meets masked modeling: fine-grained locality learning matters in consistency regularization. Pattern Recognition p. 112586 (2025)","DOI":"10.1016\/j.patcog.2025.112586"},{"key":"60_CR15","unstructured":"Ravi, N., et\u00a0al.: SAM 2: segment anything in images and videos. arXiv preprint arXiv:2408.00714 (2024)"},{"key":"60_CR16","unstructured":"Seo, Y., Kim, J., James, S., Lee, K., Shin, J., Abbeel, P.: Multi-view masked world models for visual robotic manipulation. In: International Conference on Machine Learning, pp. 30613\u201330632, PMLR (2023)"},{"key":"60_CR17","doi-asserted-by":"crossref","unstructured":"Shen, W., et al.: Multiview integration network for multitask robotic surgical scene analysis. In: IEEE Transactions on Instrumentation and Measurement (2025)","DOI":"10.1109\/TIM.2025.3568524"},{"key":"60_CR18","doi-asserted-by":"crossref","unstructured":"Shit, S., et al.: clDICE-a novel topology-preserving loss function for tubular structure segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16560\u201316569 (2021)","DOI":"10.1109\/CVPR46437.2021.01629"},{"key":"60_CR19","unstructured":"Sim\u00e9oni, O., et\u00a0al.: Dinov3. arXiv preprint arXiv:2508.10104 (2025)"},{"key":"60_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.127063","volume":"568","author":"J Su","year":"2024","unstructured":"Su, J., Ahmed, M., Lu, Y., Pan, S., Bo, W., Liu, Y.: Roformer: enhanced transformer with rotary position embedding. Neurocomputing 568, 127063 (2024)","journal-title":"Neurocomputing"},{"key":"60_CR21","unstructured":"Tran, M., Vo, K., Yamazaki, K., Fernandes, A., Kidd, M., Le, N.: Aisformer: amodal instance segmentation with transformer. arXiv preprint arXiv:2210.06323 (2022)"},{"key":"60_CR22","doi-asserted-by":"publisher","unstructured":"Wang, X., Guo, S., Xu, Z., Zhang, Z., Sun, Z., Xu, Y.: A robotic teleoperation system enhanced by augmented reality for natural human-robot interaction. Cyborg and Bionic Syst. 5 (2024). https:\/\/doi.org\/10.34133\/cbsystems.0098","DOI":"10.34133\/cbsystems.0098"},{"key":"60_CR23","doi-asserted-by":"crossref","unstructured":"Xu, H., Xiang, L., Ye, H., Yao, D., Chu, P., Li, B.: Permutation equivariance of transformers and its applications. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5987\u20135996 (2024)","DOI":"10.1109\/CVPR52733.2024.00572"},{"key":"60_CR24","doi-asserted-by":"crossref","unstructured":"Yang, G.Z., et\u00a0al.: The grand challenges of science robotics. Sci. Robot. 3(14), eaar7650 (2018)","DOI":"10.1126\/scirobotics.aas9540"},{"key":"60_CR25","doi-asserted-by":"crossref","unstructured":"Yu, Y., Zeng, Z., Zheng, H., Luo, J.: OmniPaint: mastering object-oriented editing via disentangled insertion-removal inpainting. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 17324\u201317334 (2025)","DOI":"10.1109\/ICCV51701.2025.01609"},{"issue":"7","key":"60_CR26","doi-asserted-by":"publisher","first-page":"3266","DOI":"10.1109\/TVCG.2022.3156949","volume":"29","author":"Y Zeng","year":"2022","unstructured":"Zeng, Y., Fu, J., Chao, H., Guo, B.: Aggregated contextual transformations for high-resolution image inpainting. IEEE Trans. Visual Comput. Graphics 29(7), 3266\u20133280 (2022)","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"key":"60_CR27","doi-asserted-by":"crossref","unstructured":"Zeng, Y., Lin, Z., Lu, H., Patel, V.M.: CR-FILL: generative image inpainting with auxiliary contextual reconstruction. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 14164\u201314173 (2021)","DOI":"10.1109\/ICCV48922.2021.01390"},{"key":"60_CR28","doi-asserted-by":"crossref","unstructured":"Zhou, B., Kr\u00e4henb\u00fchl, P.: Cross-view transformers for real-time map-view semantic segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13760\u201313769 (2022)","DOI":"10.1109\/CVPR52688.2022.01339"},{"issue":"4","key":"60_CR29","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1007\/s11684-020-0770-0","volume":"14","author":"X-Y Zhou","year":"2020","unstructured":"Zhou, X.-Y., Guo, Y., Shen, M., Yang, G.-Z.: Application of artificial intelligence in surgery. Frontiers of Medicine 14(4), 417\u2013430 (2020). https:\/\/doi.org\/10.1007\/s11684-020-0770-0","journal-title":"Frontiers of Medicine"},{"key":"60_CR30","doi-asserted-by":"crossref","unstructured":"Zhou, X., Liu, Y., Zhang, M., Li, J., Guo, Y., Yang, G.Z.: Deep coarse-to-fine networks for robust segmentation and pose estimation of surgical suturing threads. In: 2025 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 520\u2013526. IEEE (2025)","DOI":"10.1109\/IROS60139.2025.11246693"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2026"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-38236-8_60","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T02:41:46Z","timestamp":1790304106000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-38236-8_60"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,26]]},"ISBN":["9783032382351","9783032382368"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-38236-8_60","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,26]]},"assertion":[{"value":"26 September 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that\u00a0are relevant to the content of this article.","order":1,"name":"Ethics","label":"Disclosure of Interests","group":{"name":"EthicsHeading","label":"Ethics"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Strasbourg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2026\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}